Triple
T3758289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fus’ha |
E82099
|
entity |
| Predicate | ISOStandardRelation |
P27274
|
FINISHED |
| Object | corresponds largely to ISO 639-3 code arb (Standard Arabic) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: corresponds largely to ISO 639-3 code arb (Standard Arabic) | Statement: [Fus’ha, ISOStandardRelation, corresponds largely to ISO 639-3 code arb (Standard Arabic)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ISOStandardRelation Context triple: [Fus’ha, ISOStandardRelation, corresponds largely to ISO 639-3 code arb (Standard Arabic)]
-
A.
isStandardOf
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
-
B.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
C.
isStandardizationTargetOf
chosen
Indicates that an entity is the object or subject being standardized within a standardization process, activity, or initiative.
-
D.
datumRelation
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
-
E.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc04d348190b0e4a90d18bdd160 |
completed | March 8, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.